Analysis: Solar & wind power costs are huge compared to natural gas fired generation

sainsfilteknologi:

Solar Wind

Originally posted on Watts Up With That?:

Ed Hoskins has done an analysis of cost ratios, and no matter what your viewpoint of economics might be, the numbers here don’t lie. Without being propped up by subsidies, solar and wind aren’t even in the race as their competitiveness leaves them at the starting line while cheap natural gas (aided by fracking) runs laps around the race course. He writes:

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In summary, the figures show that these three major nations of the Western world have spent about ~$0.5trillion to create Renewable Energy electrical generation capacity nominally amounting to ~5.8% of their total generation. This capacity could be reproduced using conventional natural gas fired electrical generation for ~$31 billion or ~1/16 of the costs expended.

The data by table:

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Solar energy is about ~34 times the cost of comparable standard Gas Fired generation, whereas Wind-Power is only ~12 times the comparable cost.

Had conventional Gas Fired technology had been…

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Haruskah BBM Subsidi Dihapuskan dari Negeri Indonesia Ini?

Originally posted on Just My Hobby:

Seperti yang kita sering lihat di televisi tentang rencana penghapusan bahan bakar minyak / BBM oleh pemerintah, dalam hal ini memang pemerintah harus mengambil sikap apakah menaikan harga BBM bersubsidi atau benar-benar menghapuskan subsidi tersebut.

Terlepas dari itu diperlukan pengawasan yang lebih baik tentang siapa yang dapat menggunakan BBM bersubsidi karena banyak sekali celah yang bisa dimanfaatkan oleh orang-orang yang seharusnya tidak boleh menggunakan BBM bersubsidi.

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PERBANDINGAN ALGORITMA ALPHA-BETA PRUNING DAN MTD(f) PADA ARTIFICIAL INTELLIGENCE UNTUK PERMAINAN FANORONA

Veronica Lestari Moestafa1, Prof.Dr.The Houw Liong2, Elisafina Siswanto, S.T., M.T.3
Departemen Teknik Informatika
Institut Teknologi Harapan Bangsa
Bandung, Indonesia

 

Abstrak – Permainan Fanorona adalah permainan yang berasal dari Madagascar dan dimainkan oleh dua orang pemain di atas sebuah papan. Fanorona merupakan permainan dengan perfect information yaitu setiap pemain dapat mengetahui posisi lawan dan pilihan langkah yang tersedia. Pembuatan artificial intelligence pada permainan Fanorona akan menggunakan metode Alpha-Beta Pruning dan MTD(f). Hasil dari tugas akhir ini adalah aplikasi permainan Fanorona yang dapat dimainkan dalam mode player melawan player, player melawan computer, dan computer melawan computer dalam berbagai ukuran. Berdasarkan hasil pengujian, didapatkan bahwa penggunaan metode Alpha-Beta Pruning dapat memberikan solusi pencarian langkah terbaik, meskipun kecerdasannya dipengaruhi oleh cara penghitungan poin. Selain itu, metode MTD(f) dapat memberikan waktu pencarian yang lebih singkat dibanding metode Alpha-Beta Pruning.
Kata kunci : Fanorona, artificial intelligence, Alpha-Beta Pruning, MTD(f)

 

 

Abstract – Fanorona games are games from Madagascar and is played by two players on a board. Fanorona is a game with perfect information that is every player knows the opposing position and available move options. Artificial intelligence in this game Fanorona will use Alpha-Beta Pruning methods and MTD (f). The results of this thesis is the application of Fanorona game that can be played in player versus player mode, players fight against the computer, and the computer against the computer in a variety of sizes. Based on the test results, it was found that the use of Alpha-Beta Pruning method can provide the best search solution step, though its intelligence is affected by the method of calculation points. In addition, the method MTD (f) provide a shorter search time than Alpha-Beta Pruning method.
Keywords : Fanorona, artificial intelligence, Alpha-Beta Pruning, MTD(f)